Affordance-Experimentation-Actualization Theory in Artificial Intelligence Research – A Predictive Maintenance Story

Artificial intelligence currently counts among the most prominent digital technologies and promises to generate significant business value in the future. Despite a growing body of knowledge, research could further benefit from incorporating technological features, human actors, and organizational goals into the examination of artificial intelligence-enabled systems. This integrative perspective is crucial for effective implementation. Our study intends to fill this gap by introducing affordance-experimentation-actualization theory to artificial intelligence research. In doing so, we conduct a case study on the implementation of predictive maintenance using affordance-experimentation-actualization theory as our theoretical lens. From our study, we find further evidence for the existence of the experimentation phase during which organizations make new technologies ready for effective use. We propose extending the experimentation phase with the activity of ‘conceptual exploration’ in order to make affordance-experimentation-actualization theory applicable to a broader range of technologies and the domain of AI-enabled systems in particular

Assessment of three antibiotic combination regimens against Gram-negative bacteria causing neonatal sepsis in low- and middle-income countries

Gram-negative bacteria (GNB) are a major cause of neonatal sepsis in low- and middle-income countries (LMICs). Although the World Health Organization (WHO) reports that over 80% of these sepsis deaths could be prevented through improved treatment, the efficacy of the currently recommended first- and second-line treatment regimens for this condition is increasingly affected by high rates of drug resistance. Here we assess three well known antibiotics, fosfomycin, flomoxef and amikacin, in combination as potential antibiotic treatment regimens by investigating the drug resistance and genetic profiles of commonly isolated GNB causing neonatal sepsis in LMICs. The five most prevalent bacterial isolates in the NeoOBS study (NCT03721302) are Klebsiella pneumoniae, Acinetobacter baumannii, E. coli, Serratia marcescens and Enterobacter cloacae complex. Among these isolates, high levels of ESBL and carbapenemase encoding genes are detected along with resistance to ampicillin, gentamicin and cefotaxime, the current WHO recommended empiric regimens. The three new combinations show excellent in vitro activity against ESBL-producing K. pneumoniae and E. coli isolates. Our data should further inform and support the clinical evaluation of these three antibiotic combinations for the treatment of neonatal sepsis in areas with high rates of multidrug-resistant Gram-negative bacteria

Assessment of three antibiotic combination regimens against Gram-negative bacteria causing neonatal sepsis in low- and middle-income countries

Gram-negative bacteria (GNB) are a major cause of neonatal sepsis in low- and middle-income countries (LMICs). Although the World Health Organization (WHO) reports that over 80% of these sepsis deaths could be prevented through improved treatment, the efficacy of the currently recommended first- and second-line treatment regimens for this condition is increasingly affected by high rates of drug resistance. Here we assess three well known antibiotics, fosfomycin, flomoxef and amikacin, in combination as potential antibiotic treatment regimens by investigating the drug resistance and genetic profiles of commonly isolated GNB causing neonatal sepsis in LMICs. The five most prevalent bacterial isolates in the NeoOBS study (NCT03721302) are Klebsiella pneumoniae, Acinetobacter baumannii, E. coli, Serratia marcescens and Enterobacter cloacae complex. Among these isolates, high levels of ESBL and carbapenemase encoding genes are detected along with resistance to ampicillin, gentamicin and cefotaxime, the current WHO recommended empiric regimens. The three new combinations show excellent in vitro activity against ESBL-producing K. pneumoniae and E. coli isolates. Our data should further inform and support the clinical evaluation of these three antibiotic combinations for the treatment of neonatal sepsis in areas with high rates of multidrug-resistant Gram-negative bacteria

Generative mechanisms of AI implementation: A critical realist perspective on predictive maintenance

peer reviewe

They Said: An Analysis of State Level Sexual and Gender Harassment Data

Occurrences of sexual harassment are usually studied at the job site level. Yet there is evidence to indicate that sexual harassment occurs in a number of disparate job settings and affects all types of victims. In this research we document the incidence and attributes of sexual harassment in a state level population using four years of a specially devised victimization survey. In this paper we present the findings regarding the victims, offenders, and the nature and prevalence of such harassment in a rural mountain state. We found that for all four years, almost 20% of working people in Idaho experienced some form of sexual or gender harassment each year. Moreover, the rate of that harassment remained somewhat constant throughout the study periods. We also found that young, unmarried women were the most likely victims of sexual or gender harassment in this statewide study

Broad Distribution of Hepatocyte Proliferation in Liver Homeostasis and Regeneration

Hepatocyte proliferation is the principal mechanism for generating new hepatocytes in liver homeostasis and regeneration. Recent studies have suggested that this ability is not equally distributed among hepatocytes but concentrated in a small subset of hepatocytes acting like stem cells, located around the central vein or distributed throughout the liver lobule and exhibiting active WNT signaling or high telomerase activity, respectively. These findings were obtained by utilizing components of these growth regulators as markers for genetic lineage tracing. Here, we used random lineage tracing to localize and quantify clonal expansion of hepatocytes in normal and injured liver. We found that modest proliferation of hepatocytes distributed throughout the lobule maintains the hepatocyte mass and that most hepatocytes proliferate to regenerate it, with diploidy providing a growth advantage over polyploidy. These results show that the ability to proliferate is broadly distributed among hepatocytes rather than limited to a rare stem cell-like population

Loss of TIMP3 exacerbates atherosclerosis in ApoE null mice.

Tissue inhibitor of metalloproteinase 3 (TIMP3) is a stromal protein that inhibits the activity of various proteases and receptors. We have previously shown TIMP3 to be downregulated in metabolic and inflammatory disorders, such as type 2 diabetes mellitus. We have now generated an ApoE(-/-)Timp3(-/-) mouse model in which, through the use of genetics, metabolomics and in-vivo phenotypical analysis we investigated the role of TIMP3 in the development of atherosclerosis. En face aorta analysis and aortic root examination showed that ApoE(-/-)Timp3(-/-) mice show increased atherosclerosis with increased infiltration of macrophages into the plaque. Serum concentration of MCP-1 were elevated in the serum of ApoE(-/-)Timp3(-/-) mice coupled with an expansion of the inflammatory (M1) Gr1+ macrophages, both in the circulation and within the aortic tissue. Targeted analysis of metabolites revealed a trend to reduced short chain acylcarnitines. Our study shows that lack of TIMP3 increases inflammation and polarizes macrophages towards a more inflammatory phenotype resulting in increased atherosclerosis. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved